2pm-5pm - break at 3.15pm for 10 minsMissing data: analysis and design, led by John W. Graham, Pennsylvania State University. John Graham will present a sketch of missing data theory, including descriptions of normal-model multiple imputation (MI) and maximum likelihood methods. He will discuss attrition and nonignorable missingness, emphasizing the need for longitudinal diagnostics and for reducing the uncertainty about the missing data mechanism under attrition. Further details